13 citations · 22 across the 2 of their papers we have counts for
2 papers
eess.SY2020★ 9 cited
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL
Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate +1
We study the ability of autonomous vehicles to improve the throughput of a bottleneck using a fully decentralized control scheme in a mixed autonomy setting. We consider the proble…
cs.LG2020★ 13 cited
Robust Reinforcement Learning using Adversarial Populations
Eugene Vinitsky, Yuqing Du, Kanaad Parvate +3
Reinforcement Learning (RL) is an effective tool for controller design but can struggle with issues of robustness, failing catastrophically when the underlying system dynamics are…